Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
Abstract Background The exceptional capabilities of artificial intelligence (AI) in extracting image information and processing complex models have led to its recognition across various medical fields. With the continuous evolution of AI technologies based on deep learning, particularly the advent o...
Main Authors: | Wu Quanyang, Huang Yao, Wang Sicong, Qi Linlin, Zhang Zewei, Hou Donghui, Li Hongjia, Zhao Shijun |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-04-01
|
Series: | Cancer Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1002/cam4.7140 |
Similar Items
-
Correlation between lung cancer probability and number of pulmonary nodules in baseline computed tomography lung cancer screening: A retrospective study based on the Chinese population
by: Quanyang Wu, et al.
Published: (2023-01-01) -
Application of Artificial Intelligence in Lung Cancer Screening
by: Sang Min Lee, et al.
Published: (2019-09-01) -
Gated-Dilated Networks for Lung Nodule Classification in CT Scans
by: Mundher Al-Shabi, et al.
Published: (2019-01-01) -
Accurate classification of lung nodules on CT images using the TransUnet
by: Hongfeng Wang, et al.
Published: (2022-12-01) -
A novel fusion algorithm for benign-malignant lung nodule classification on CT images
by: Ling Ma, et al.
Published: (2023-11-01)